Paper
3 February 2023 Wavelet analysis of S&P 500, oil prices, and economic policy uncertainty
Yijun Shen, Zhengyi Lai, Zhengyang Zhao, Zheng Tao
Author Affiliations +
Proceedings Volume 12511, Third International Conference on Computer Vision and Data Mining (ICCVDM 2022); 125112Q (2023) https://doi.org/10.1117/12.2661322
Event: Third International Conference on Computer Vision and Data Mining (ICCVDM 2022), 2022, Hulun Buir, China
Abstract
We collect a total of 1830 data from January 2020 to June 2022 and use R for data processing and wavelet analysis. Moreover, we analyze the interactions between the COVID-19 pandemic, the Russian-Ukrainian war, crude oil price, the S&P 500 and economic policy uncertainty within a time-frequency frame work. As a result that the COVID-19 pandemic and the Russian-Ukrainian war has the extraordinary effects on the three indexes and the effect of the Russian- Ukrainian war on the crude oil price and US stock price higher than on the US economic uncertainty.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yijun Shen, Zhengyi Lai, Zhengyang Zhao, and Zheng Tao "Wavelet analysis of S&P 500, oil prices, and economic policy uncertainty", Proc. SPIE 12511, Third International Conference on Computer Vision and Data Mining (ICCVDM 2022), 125112Q (3 February 2023); https://doi.org/10.1117/12.2661322
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KEYWORDS
Wavelets

Continuous wavelet transforms

Niobium

Sodium

Data processing

Statistical analysis

Time-frequency analysis

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